Boosting¶
Like bagging and random forests, boosting combines multiple weak learners into one improved model. Unlike bagging and random forests, however, boosting trains these weak learners sequentially, each one learning from the mistakes of the last. Rather than a single model, “boosting” refers to a class of sequential learning methods.
Here we discuss two specific algorithms for conducting boosting. The first, known as Discrete AdaBoost (or just AdaBoost), is used for binary classification. The second, known as AdaBoost.R2, is used for regression.
AdaBoost for Binary Classification¶
Weighted Classification Trees¶
Weak learners in a boosting model learn from the mistakes of previous iterations by increasing the weights of observations that previous learners struggled with. How exactly we fit a weighted learner depends on the type of learner. Fortunately, for classification trees this can be done with just a slight adjustment to the loss function.
Consider a classification tree with classes \(k = 1, \dots, K\) and a node \(\mathcal{N}_m\). Let \(\hat{p}_{mk}\) give the fraction of the observations in \(\mathcal{N}_m\) belonging to class \(k\). Recall that the Gini index is defined as
and the cross entropy as
The classification tree then chooses the split \(S_m\) that minimizes the combined loss of the child nodes,
where \(C_m^L\) and \(C_m^R\) are the left and right child nodes and \(f_L\) and \(f_R\) are the fraction of observations going to each.
To allow for observation weighting, we simply change our definition of \(\hat{p}_{mk}\) to the following:
This forces the tree to prioritize isolating the classes that were poorly classified by previous learners. The Gini index and cross-entropy are then defined as before and the rest of the tree is fit in the same way.
The Discrete AdaBoost Algorithm¶
The Discrete AdaBoost algorithm is outlined below. We start by setting the weights equal for each observation. Then we build \(T\) weighted weak learners (decision trees in our case). Each observation’s weight is updated according to two factors: the strength of the iteration’s learner and the accuracy of the learner on that observation. Specifically, the update for the weight on observation \(n\) at iteration \(t\) takes the form
where \(\alpha^t\) is a measure of the accuracy of the learner and \(I^t_n\) indicates the learner misclassified observation \(n\). This implies that the weight for a correctly-classified observation does not change while the weight for a misclassified observation increases, particularly if the model is accurate.
Note
Notation for boosting can get confusing since we iterate over learners and through observations. For the rest of this page, let superscripts refer to the model iteration and subscripts refer to the observation. For instance, \(w^t_n\) refers to the weight of observation \(n\) in learner \(t\).
Discrete AdaBoost Algorithm
Define the target variable to be \(y_n \in \{-1, +1 \}\).
Initialize the weights with \(w^1_n = \frac{1}{N}\) for \(n = 1, 2, \dots, N\).
For \(t = 1, \dots, T\),
Build weak learner \(t\) using weights \(\mathbf{w}^t\).
Use weak learner \(t\) to calculate fitted values \(f^t(\bx_n) \in \{-1, +1\}\) for \(n = 1, 2, \dots, N\). Let \(I^t_n\) equal 1 If \(f^t(\bx_n) \neq y_n\) and 0 otherwise. That is, \(I^t_n\) indicates whether learner \(t\) misclassifies observation \(n\).
Calculate the weighted error for learner \(t\):
\[ \epsilon^t = \frac{\sumN w^t_n I^t_n}{\sumN w^t_n}. \]Calculate the accuracy measure for learner \(t\):
\[ \alpha^t = \log\left(\frac{1-\epsilon^t}{\epsilon^t}\right). \]Update the weighting with
\[ w^{t + 1}_n = w^t_n\exp(\alpha^tI^t_n), \]for \(n = 1, 2, \dots, N\).
Calculate the overall fitted values with \(\hat{y}_n = \text{sign} \left( \sum_{t = 1}^T \alpha^t f^t(\bx_n)\right)\).
Note that our final fitted value for observation \(n\), \(\hat{y}_n\), is a weighted vote of all the individual fitted values where higher-performing learners are given more weight.
AdaBoost For Regression¶
We can apply the same principle of learning from our mistakes to regression tasks as well. A common algorithm for doing so is AdaBoost.R2, shown below. Like AdaBoost, this algorithm uses weights to emphasize observations that previous learners struggled with. Unlike AdaBoost, however, it does not incorporate these weights into the loss function directly. Instead, every iteration, it draws bootstrap samples from the training data where observations with greater weights are more likely to be drawn.
We then fit a weak learner to the bootstrapped sample, calculate the fitted values on the original sample (i.e. not the bootstrapped sample), and use the residuals to assess the quality of the weak learner. As in AdaBoost, we update the weights each iteration based on the quality of the learner (determined by \(\beta^t\)) and the accuracy of the learner on the observation (determined by \(L_n\)).
After iterating through many weak learners, we form our fitted values. Specifically, for each observation we use the weighted median (defined below) of the weak learners’ predictions, weighted by \(\log(1/\beta^t)\) for \(t = 1, \dots, T\).
Note
Weighted Median
Consider a set of values \(\{v_1, v_2, \dots, v_N\}\) and a set of corresponding weights \(\{s_1, s_2, \dots, s_N\}\). Normalize the weights so they add to 1. To calculate the weighted median, sort the values and weights in ascending order of the values; call these \(\{v^{(1)}, v^{(2)}, \dots, v^{(N)}\}\) and \(\{s^{(1)}, s^{(2)}, \dots, s^{(N)}\}\) where, for instance, \(v^{(1)}\) is the smallest value and \(s^{(1)}\) is its corresponding weight. The weighted median is then the value corresponding to the first weight such that the cumulative sum of the weights is greater than or equal to 0.5.
As an example, consider the values \(\mathbf{v} = \{10,30,20,40\}\) and corresponding weights \(\mathbf{s} = \{0.4, 0.6, 0.2, 0.8\}\). First normalize the weights to sum to 1, giving \(\mathbf{s} = \{0.2, 0.3, 0.1, 0.4\}\). Then sort the values and the weights, giving \(\mathbf{v} = \{10, 20, 30, 40\}\) and \(\mathbf{s} = \{0.2, 0.1, 0.3, 0.4\}\). Then, since the third element is the first for which the cumulative sum of the weights is at least 0.5, the weighted median is the third of the sorted values, \(30\).
Though the arithmetic below gets somewhat messy, the concept is simple: iteratively fit a weak learner, see where the learner struggles, and emphasize the observations where it failed (where the amount of emphasis depends on the overall strength of the learner).
AdaBoost.R2 Algorithm
Initialize the weights with \(w^1_n = \frac{1}{N}\) for \(n = 1, 2, \dots, N\).
For \(t = 1, 2, \dots, T\) or while \(\bar{L}^t\), as defined below, is less than or equal to 0.5,
Draw a sample of size \(N\) from the training data with replacement and with probability \(w^t_n\) for \(n = 1, 2, \dots, N\).
Fit weak learner \(t\) to the resampled data and calculate the fitted values on the original dataset. Denote these fitted values with \(f^t(\bx_{n})\) for \(n = 1, 2, \dots, N\).
Calculate the observation error \(L^t_{n}\) for \(n = 1, 2, \dots, N\):
\[\begin{split} \begin{aligned} D^t &= \underset{n}{\text{max}} \{ |y_{n} - f^t(\bx_{n})| \} \\ L^t_{n} &= \frac{|y_{n} - f^t(\bx_{n})|}{D^t} \end{aligned} \end{split}\]Calculate the model error \(\bar{L}^t\):
\[ \bar{L}^t = \sum_{n = 1}^N L^t_n w^t_n \]If \(\bar{L}^t \geq 0.5\), end iteration and set \(T\) equal to \(t - 1\).
Let \(\beta^t = \frac{\bar{L}^t}{1- \bar{L}^t}\). The lower \(\beta^t\), the greater our confidence in the model.
Let \(Z^t = \sum_{n = 1}^N w^t_n (\beta^t)^{1 - L^t_n}\) be a normalizing constant and update the model weights with
\[ w^{t + 1}_n = \frac{w^t_n (\beta^t)^{1 - L^t_n}}{Z^t}, \]which increases the weight for observations with a greater error \(L^t_n\).
Set the overall fitted value for observation \(n\) equal to the weighted median of \(f^t(\bx_n)\) for \(t = 1, 2, \dots, T\) using weights \(\log(1/\beta^t)\) for model \(t\).
In the boosting construction, we implement AdaBoost.R2 using decision tree regressors though many other weak learners may be used.


What A Night!
Browse through the photos...
Megan O'Neill at ExCellar Surbiton
20th July 2019
Interior
Exterior
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Model & Texture Source: Ball: Simple Sphere, Textures created by myself
Table: Simple Plain, Texture created by myself
Queue: Modeled with Sketchup, wood texture from the Internet


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4004 CPU
4 bit ALU
Arithmetic Unit Can add numbers that total less than 16.
Carry Input
1s
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4s
-
Sum
1s
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4s
Sign
Carry Output
4 bit Logic Unit


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Multiple add-ons are supported and can be mixed with checkbox and radio input versions.
BUTTON ADDONS
Buttons in input groups are a bit different and require one extra level of nesting.
Instead of .input-group-addon
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|
OPAE C API
-..
FPGA API
|
Type definitions for FPGA API. More...
Go to the source code of this file.
Data Structures | |
| struct | fpga_version |
| struct | fpga_error_info |
| union | metric_value |
| struct | fpga_metric_info |
| struct | fpga_metric |
| struct | threshold |
| struct | metric_threshold |
Macros | |
| #define | FPGA_ERROR_NAME_MAX 64 |
| #define | FPGA_METRIC_STR_SIZE 256 |
Typedefs | |
| typedef void * | fpga_properties |
| typedef void * | fpga_token |
| typedef void * | fpga_handle |
| typedef uint8_t | fpga_guid[16] |
| typedef void * | fpga_event_handle |
| typedef void * | fpga_object |
Type definitions for FPGA API.
OPAE uses the three opaque types fpga_properties, fpga_token, and fpga_handle to create a hierarchy of objects that can be used to enumerate, reference, acquire, and query FPGA resources. This object model is designed to be extensible to account for different FPGA architectures and platforms.
OPAEs management of the opaque types fpga_properties
, fpga_token
, and fpga_handle
relies on the proper initialization of variables of these types. In other words, before doing anything with a variable of one of these opaque types, you need to first initialize them.
The respective functions that initialize opaque types are:
fpga_properties
fpga_token
fpga_handle
This should intuitively make sense - fpgaGetProperties() creates fpga_properties
objects, fpgaEnumerate() creates fpga_token
objects, fpgaOpen() creates fpga_handle
objects, and fpgaCloneProperties() and fpgaCloneToken() clone (create) fpga_properties
and fpga_token
objects, respectively.
Since these opaque types are interpreted as pointers (they are typedef'd to a void *
), passing an uninitialized opaque type into any function except the respective initailzation function will result in undefined behaviour, because OPAE will try to follow an invalid pointer. Undefined behaviour in this case may include an unexpected error code, or an application crash.
Definition in file types.h.
| struct fpga_version |
| struct fpga_error_info |
| union metric_value |
| struct fpga_metric_info |
| Data Fields | ||
|---|---|---|
| uint64_t | metric_num | |
| fpga_guid | metric_guid | |
| char | qualifier_name[256] | |
| char | group_name[256] | |
| char | metric_name[256] | |
| char | metric_units[256] | |
| enum fpga_metric_datatype | metric_datatype | |
| enum fpga_metric_type | metric_type |
| struct fpga_metric |
| Data Fields | ||
|---|---|---|
| uint64_t | metric_num | |
| metric_value | value | |
| bool | isvalid |
| struct threshold |
| struct metric_threshold |
| #define FPGA_ERROR_NAME_MAX 64 |
| typedef void* fpga_properties |
Object for expressing FPGA resource properties
fpga_properties
objects encapsulate all enumerable information about an FPGA resources. They can be used for two purposes: selective enumeration (discovery) and querying information about existing resources.
For selective enumeration, usually an empty fpga_properties
object is created (using fpgaGetProperties()) and then populated with the desired criteria for enumeration. An array of fpga_properties
can then be passed to fpgaEnumerate(), which will return a list of fpga_token
objects matching these criteria.
For querying properties of existing FPGA resources, fpgaGetProperties() can also take an fpga_token
and will return an fpga_properties
object populated with information about the resource referenced by that token.
After use, fpga_properties
objects should be destroyed using fpga_destroyProperties() to free backing memory used by the fpga_properties
object.
| typedef void* fpga_token |
Token for referencing FPGA resources
An fpga_token
serves as a reference to a specific FPGA resource present in the system. Holding an fpga_token
does not constitute ownership of the FPGA resource - it merely allows the user to query further information about a resource, or to use fpgaOpen() to acquire ownership.
fpga_token
s are usually returned by fpgaEnumerate() or fpgaPropertiesGetParent(), and used by fpgaOpen() to acquire ownership and yield a handle to the resource. Some API calls also take fpga_token
s as arguments if they don't require ownership of the resource in question.
| typedef void* fpga_handle |
Handle to an FPGA resource
A valid fpga_handle
object, as populated by fpgaOpen(), denotes ownership of an FPGA resource. Note that ownership can be exclusive or shared, depending on the flags used in fpgaOpen(). Ownership can be released by calling fpgaClose(), which will render the underlying handle invalid.
Many OPAE C API functions require a valid token (which is synonymous with ownership of the resource).
| typedef uint8_t fpga_guid[16] |
Globally unique identifier (GUID)
GUIDs are used widely within OPAE for helping identify FPGA resources. For example, every FPGA resource has a guid
property, which can be (and in the case of FPGA_ACCELERATOR resource primarily is) used for enumerating a resource of a specific type.
fpga_guid
is compatible with libuuid's uuid_t, so users can use libuuid functions like uuid_parse() to create and work with GUIDs.
| typedef void* fpga_event_handle |
Handle to an event object
OPAE provides an interface to asynchronous events that can be generated by different FPGA resources. The event API provides functions to register for these events; associated with every event a process has registered for is an fpga_event_handle
, which encapsulates the OS-specific data structure for event objects.
After use, fpga_event_handle
objects should be destroyed using fpgaDestroyEventHandle() to free backing memory used by the fpga_event_handle
object.
| typedef void* fpga_object |
Object pertaining to an FPGA resource as identified by a unique name
An fpga_object
represents either a device attribute or a container of attributes. Similar to filesystems, a '/' may be used to seperate objects in an object hierarchy. Once on object is acquired, it may be used to read or write data in a resource attribute or to query sub-objects if the object is a container object. The data in an object is buffered and will be kept around until the object is destroyed. Additionally, the data in an attribute can by synchronized from the owning resource using the FPGA_OBJECT_SYNC flag during read operations. The name identifying the object is unique with respect to the resource that owns it. A parent resource may be identified by an fpga_token
object, by an fpga_handle
object, or another fpga_object
object. If a handle object is used when opening the object, then the object is opened with read-write access. Otherwise, the object is read-only.


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Before Change
:return: A symbolic representation of the output logits (i.e., the
values fed as inputs to the softmax layer).
return self.get_layer(x, "logits")
def get_probs(self, x):
:param x: A symbolic representation of the network input
After Change
:return: A symbolic representation of the output logits (i.e., the
values fed as inputs to the softmax layer).
return self.fprop(x, **kwargs)[self.O_LOGITS]
def get_probs(self, x, **kwargs):
:param x: A symbolic representation of the network input


Discard comments in your CSS files with PostCSS.
With npm do:
npm install postcss-discard-comments --save
css
h1/* heading */{
margin: 0 auto
}
css
h1 {
margin: 0 auto
}
This module discards comments from your CSS files; by default, it will remove
all regular comments (/* comment */
) and preserve comments marked as important
(/*! important */
).
Note that this module does not handle source map comments because they are not available to it; PostCSS handles this internally, so if they are removed then you will have to configure source maps in PostCSS.
Type: function
Return: boolean
Variable: comment
contains a comment without /**/
For each comment, return true to remove, or false to keep the comment.
js
function(comment) {}
js
var css = '/* headings *//*@ h1 */h1{margin:0 auto}/*@ h2 */h2{color:red}';
console.log(postcss(comments({
remove: function(comment) { return comment[0] == "@"; }
})).process(css).css);
//=> /* headings */h1{margin:0 auto}h2{color:red}
NOTE: If you use the remove
function other options will not be available.
Type: boolean
Default: false
Remove all comments marked as important.
js
var css = '/*! heading */h1{margin:0 auto}/*! heading 2 */h2{color:red}';
console.log(postcss(comments({removeAll: true})).process(css).css);
//=> h1{margin:0 auto}h2{color:red}
Type: boolean
Default: false
Remove all comments marked as important, but the first one.
js
var css = '/*! heading */h1{margin:0 auto}/*! heading 2 */h2{color:red}';
console.log(postcss(comments({removeAllButFirst: true})).process(css).css);
//=> /*! heading */h1{margin:0 auto}h2{color:red}
See the PostCSS documentation for examples for your environment.
Pull requests are welcome. If you add functionality, then please add unit tests to cover it.
MIT © Ben Briggs


Advanced setup of MNE-Python¶
Using MNE-Python with IPython / Jupyter notebooks¶
When using MNE-Python within IPython or a Jupyter notebook, we strongly recommend using the Qt matplotlib backend for fast and correct rendering. On Linux, for example, Qt is the only matplotlib backend for which 3D rendering will work correctly. On macOS, certain matplotlib functions might not work as expected on backends other than Qt. Enabling Qt can be accomplished when starting IPython from a terminal:
$ ipython --matplotlib=qt
or in a Jupyter Notebook, you can use the “magic” command:
In [1]: %matplotlib qt
This will create separate pop-up windows for each figure, and has the advantage that the 3D plots will retain rich interactivity (so, for example, you can click-and-drag to rotate cortical surface activation maps).
If you are creating a static notebook or simply prefer Jupyter’s inline plot display, MNE-Python will work with the standard “inline” magic:
In [1]: %matplotlib inline
but some functionality will be lost. For example, mayavi scenes will still pop-up a separate window, but only one window at a time is possible, and interactivity within the scene is limited in non-blocking plot calls.
Windows
If you are using MNE-Python on Windows through IPython or Jupyter, you might
also have to use the IPython magic command %gui qt
after importing
MNE-Python, Mayavi or PySurfer (see here). For example:
In [1]: from mayavi import mlab
In [2]: %gui qt
If you installed the nb_conda_kernels
package into your base
environment (as recommended), you should be able to launch mne
-capable
notebooks from within the Anaconda Navigator GUI without having to explicitly
switch to the mne
environment first; look for Python [conda env:mne]
when choosing which notebook kernel to use. Otherwise, be sure to activate the
mne
environment before launching the notebook.
If you use another Python setup and you encounter some difficulties please report them on the MNE mailing list or on the GitHub issues page to get assistance.
It is also possible to interact with the 3D plots without installing Qt by using the notebook 3d backend:
In [1]: import mne
In [2]: mne.viz.set_3d_backend("notebook")
The notebook 3d backend requires PyVista to be installed along with other packages, please follow Installing MNE-Python
Using the development version of MNE-Python (latest master)¶
If you want access to the latest features and bugfixes, you can easily switch from the stable version of MNE-Python to the current development version.
Warning
In between releases, function and class APIs can change without warning.
For a one-time update to latest master, make sure you’re in the conda
environment where MNE-Python is installed (if you followed the default install
instructions, this will be base
), and use pip
to upgrade:
$ conda activate name_of_my_mne_environment
$ pip install --upgrade --no-deps https://github.com/mne-tools/mne-python/archive/master.zip
If you plan to contribute to MNE-Python, or just prefer to use git rather than pip to make frequent updates, check out the contributing guide.
Using MNE-Python with other Python distributions¶
While the Anaconda Python distribution provides many conveniences, other
distributions of Python should also work with MNE-Python. In particular,
Miniconda is a lightweight alternative to Anaconda that is fully compatible;
like Anaconda, Miniconda includes the conda
command line tool for
installing new packages and managing environments; unlike Anaconda, Miniconda
starts off with a minimal set of around 30 packages instead of Anaconda’s
hundreds. See the installation instructions for Miniconda for more info.
It is also possible to use a system-level installation of Python (version 3.5
or higher) and use pip
to install MNE-Python and its dependencies, using
the provided requirements file:
curl --remote-name https://raw.githubusercontent.com/mne-tools/mne-python/master/requirements.txt
pip install --user requirements.txt
Other configurations will probably also work, but we may be unable to offer support if you encounter difficulties related to your particular Python installation choices.
Using MNE-Python with CUDA (NVIDIA GPU acceleration)¶
Some operations in MNE-Python can utilize NVIDIA CUDA GPU processing to speed up some operations (e.g. FIR filtering) by roughly an order of magnitude. To use CUDA, first ensure that you are running the NVIDIA proprietary drivers on your operating system, and then do:
$ conda install cupy
$ MNE_USE_CUDA=true python -c "import mne; mne.cuda.init_cuda(verbose=True)"
Enabling CUDA with 1.55 GB available memory
If you receive a message reporting the GPU’s available memory, CuPy is working properly. To permanently enable CUDA in MNE, you can do:
>>> mne.utils.set_config('MNE_USE_CUDA', 'true')
You can then test MNE CUDA support by running the associated test:
$ pytest mne/tests/test_filter.py -k cuda
If the tests pass, then CUDA should work in MNE. You can use CUDA in methods
that state that they allow passing n_jobs='cuda'
, such as
mne.io.Raw.filter()
and mne.io.Raw.resample()
,
and they should run faster than the CPU-based multithreading such as
n_jobs=8
.
Off-screen rendering in MNE-Python on Linux with MESA¶
On remote systems, it might be possible to use MESA software rendering
(such as llvmpipe
or swr
) for 3D visualization (with some tweaks).
For example, on CentOS 7.5 you might be able to use an environment variable
to force MESA to use modern OpenGL by using this before executing
spyder
or python
:
$ export MESA_GL_VERSION_OVERRIDE=3.3
Also, it’s possible that different software rending backends might perform
better than others, such as using the llvmpipe
backend rather than swr
.
MESA also can have trouble with full-screen antialiasing, which you can disable with:
$ export MNE_3D_OPTION_ANTIALIAS=false
or by doing
mne.viz.set_3d_options(antialias=False)
within
a given Python session.
Troubleshooting 3D plots in MNE-Python¶
3D plotting trouble after version 0.20 upgrade on macOS¶
When upgrading MNE-Python to version 0.20, some macOS users may end up with conflicting versions of some of the 3D plotting dependencies. If you plot using the pyvista 3D backend and find that you can click-drag to rotate the brain, but cannot adjust any of the settings sliders, it is likely that your versions of VTK and/or QT are incompatible. This series of commands should fix it:
$ conda uninstall vtk
$ pip uninstall -y pyvista
$ conda install vtk
$ pip install --no-cache pyvista
If you installed VTK using pip
rather than conda
, substitute the first
line for pip uninstall -y vtk
.
3D plotting trouble using mayavi 3D backend¶
If you run into trouble when visualizing source estimates (or anything else) using mayavi, you can try setting a couple of environment variables at the beginning of your script, session, or notebook:
>>> import os
>>> os.environ['ETS_TOOLKIT'] = 'qt4'
>>> os.environ['QT_API'] = 'pyqt5'
This will tell mayavi to use Qt backend with PyQt bindings, instead of the default PySide. For more information, see http://docs.enthought.com/mayavi/mayavi/building_applications.html#integrating-in-a-qt-application.


Here is the detail of the first entry. I suppose this could have a bunch of information. So far I've learned that I rely on bootstrap too much.
Bacon ipsum dolor amet shoulder meatloaf alcatra, salami corned beef frankfurter boudin turducken jowl. Corned beef tongue pork belly, prosciutto biltong chicken tail sirloin pastrami. Tongue alcatra brisket salami ribeye venison rump bacon t-bone. Bresaola chuck shankle, ham hock ball tip hamburger short loin shoulder doner venison. Strip steak short loin meatloaf shoulder boudin shankle pork loin pork belly andouille, alcatra turducken. Rump jowl cow short ribs, drumstick short loin ground round.
Tongue beef andouille prosciutto leberkas, chicken ham shankle drumstick. Tail pork andouille biltong turducken, landjaeger tri-tip. Corned beef andouille kevin boudin bresaola cupim. Hamburger pork belly cow tri-tip, spare ribs alcatra turkey shoulder ham hock tongue capicola shank bacon brisket tenderloin. Andouille ball tip meatloaf turkey biltong meatball.  Meatball sirloin picanha capicola beef ribs fatback shankle corned beef pork belly spare ribs alcatra shoulder cow pig.
 Shankle doner pork chop, pork andouille shank fatback. Fatback landjaeger brisket, strip steak chicken ham hock bacon jerky capicola. Kielbasa pastrami cow meatball filet mignon ribeye leberkas chicken tongue venison kevin landjaeger beef. Filet mignon meatball pig, brisket sausage tenderloin ground round beef rump doner ham salami. Beef kielbasa pork chop swine spare ribs bacon prosciutto tongue ground round pastrami rump leberkas frankfurter.


{% include 'autocode/includes/file.html' with path='autocode/code/forms.py.html' file_name='forms.py' %}
{% include 'autocode/includes/file.html' with path='autocode/code/views.py.html' file_name='views.py' %}
{% include 'autocode/includes/file.html' with path='autocode/code/urls.py.html' file_name='urls.py' %}
{% include 'autocode/includes/file.html' with path='autocode/code/admin.py.html' file_name='admin.py' %}
API Views
{% include 'autocode/includes/file.html' with path='autocode/code/serializers.py.html' file_name='serializers.py' %}
{% include 'autocode/includes/file.html' with path='autocode/code/api_views.py.html' file_name='api_views.py' %}
Templates
{% for model in models %}
{% include 'autocode/code/{model}_form.html.html' with model=model %}
{% endfor %}
{% for model in models %}
{% include 'autocode/code/{model}_list.html.html' with model=model %}
{% endfor %}
{% endblock content %}


--- layout: page title: About ---
Machine Learning algorithms and their implementations capable of extracting, learning, and using real-world knowledges.
Cognitive programs which mimics/overwhelms cognitive power of human brain.
Human-like programs which can communicate/interact with human beings.
Undergraduate student of Korea University, department of computer science.


Did you found a bug in our project? Fell free to submit!
submit bug
do you need our support? Fell free to ask for!
request support
Do you have a feature request? feel free to tell us about it!
feature request
Of course you can also write a mail to us.
pdfunit-users@lists.sourceforge.net


This intention replaces an invocation of an EXML config class constructor using an object literal
by a no-arg constructor invocation, followed by assigning each property separately.
The advantage is that in contrast to the object literal, the usage of properties is type-safe
and can be refactored.


--- layout: post title: And better looking than you know :) date: type: post published: false status: draft categories: [] tags: [] meta: google_plus_activity_id: z12jgpy5osr3trl2h234i3fogkmne1adz _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: Carina C. last_name: Zon ---
More evidence that children's books are where the great wisdoms are stored for how to summit Maslow's pyramid.
James Fierce originally shared this post:
And better looking than you know :)


If you're new to Mesos
See the getting started page for more information about downloading, building, and deploying Mesos.
If you'd like to get involved or you're looking for support
See our community page for more details.
Overview
Motivation
A pod can be defined as a set of containers co-located and co-managed on an agent that share some resources (e.g., network namespace, volumes) but not others (e.g., container image, resource limits). Here are the use cases for pod:
- Run a side-car container (e.g., logger, backup) next the main application controller.
- Run an adapter container (e.g., metrics endpoint, queue consumer) next to the main container.
- Run transient tasks inside a pod for a operations which are short-lived and whose exit does not imply that a pod should exit (e.g., a task which backs up data in a persistent volume).
- Provide performance isolation between latency-critical application and supporting processes.
- Run a group of containers sharing volumes and network namespace while some of them can have their own mount namespace.
- Run a group of containers with the same life cycle, e.g, one container’s failure would cause all other containers being cleaned up.
In order to have first class support for running “pods”, two new
primitives are introduced in Mesos: Task Group
and Nested Container
.
Background
Mesos has the concept of Executors and Tasks. An executor can launch multiple tasks while the executor runs in a container. An agent can run multiple executors. The pod can be implemented by leveraging the executor and task abstractions. More specifically, the executor runs in the top level container (called executor container) and its tasks run in separate nested containers inside this top level container, while the container image can be specified for each container.
New Primitives: Task Group and Nested Container
Task Group
The concept of Task Group addresses the limitation of the existing
Scheduler and Executor APIs, which cannot send a group of tasks to
an executor atomically
. Even though a scheduler can launch multiple
tasks for the same executor in a LAUNCH offer operation, these tasks
are delivered to the executor one at a time via separate LAUNCH events.
It cannot guarantee atomicity since any individual task might be dropped
due to different reasons (e.g., network partition). Therefore, the Task
Group provides all-or-nothing
semantics to ensure a group of tasks
are delivered atomically
to an executor.
Nested Container
The concept of Nested Container describes containers nested under an executor container. They share the network namespace and volumes while they may have their own container images and resource limits. By introducing the new agent API for nested container in the following section, executors no longer need to implement their own containerization. Instead, executors can reuse the containerizer (in the agent) to launch nested container. Both authorized operators or executors will be allowed to create nested containers.
Task Group API
Framework API
message TaskGroupInfo {
repeated TaskInfo tasks = 1;
}
message Offer {
...
message Operation {
enum Type {
...
LAUNCH_GROUP = 6;
...
}
...
message LaunchGroup {
required ExecutorInfo executor = 1;
required TaskGroupInfo task_group = 2;
}
...
optional LaunchGroup launch_group = 7;
}
}
By using the TaskGroup Framework API, frameworks can launch a task
group with the default executor
or a custom executor. The group of tasks can be specified through an
offer operation LaunchGroup
when accepting an offer. The
ExecutorInfo
indicates the executor to launch the task group, while
the TaskGroupInfo
includes the group of tasks to be launched
atomically.
To use the default executor for launching the task group, the framework should:
* Set ExecutorInfo.type
as DEFAULT
.
* Set ExecutorInfo.resources
for the resources needed for the executor.
Please note that the following fields in the ExecutorInfo
are not allowed to set when using the default executor:
* ExecutorInfo.command
.
* ExecutorInfo.container.type
, ExecutorInfo.container.docker
and ExecutorInfo.container.mesos
.
To allow containers to share a network namespace:
* Set ExecutorInfo.container.network
.
To allow containers to share an ephemeral volume:
Specify the volume/sandbox_path
isolator.
* Set TaskGroupInfo.tasks.container.volumes.source.type
as SANDBOX_PATH
.
* Set TaskGroupInfo.tasks.container.volumes.source.sandbox_path.type
as PARENT
and the path relative to the parent container’s sandbox.
Executor API
message Event {
enum Type {
...
LAUNCH_GROUP = 8;
...
}
...
message LaunchGroup {
required TaskGroupInfo task_group = 1;
}
...
optional LaunchGroup launch_group = 8;
}
A new event LAUNCH_GROUP
is added to Executor API. Similar to the
Framework API, the LAUNCH_GROUP
event guarantees a group of tasks
are delivered to the executor atomically.
Nested Container API
New Agent API
package mesos.agent;
message Call {
enum Type {
...
// Calls for managing nested containers underneath an executor's container.
NESTED_CONTAINER_LAUNCH = 14; // See 'NestedContainerLaunch' below.
NESTED_CONTAINER_WAIT = 15; // See 'NestedContainerWait' below.
NESTED_CONTAINER_KILL = 16; // See 'NestedContainerKill' below.
}
// Launches a nested container within an executor's tree of containers.
message LaunchNestedContainer {
required ContainerID container_id = 1;
optional CommandInfo command = 2;
optional ContainerInfo container = 3;
}
// Waits for the nested container to terminate and receives the exit status.
message WaitNestedContainer {
required ContainerID container_id = 1;
}
// Kills the nested container. Currently only supports SIGKILL.
message KillNestedContainer {
required ContainerID container_id = 1;
}
optional Type type = 1;
...
optional NestedContainerLaunch nested_container_launch = 6;
optional NestedContainerWait nested_container_wait = 7;
optional NestedContainerKill nested_container_kill = 8;
}
message Response {
enum Type {
...
NESTED_CONTAINER_WAIT = 13; // See 'NestedContainerWait' below.
}
// Returns termination information about the nested container.
message NestedContainerWait {
optional int32 exit_status = 1;
}
optional Type type = 1;
...
optional NestedContainerWait nested_container_wait = 14;
}
By adding the new Agent API, any authorized entity, including the executor itself, its tasks, or the operator can use this API to launch/wait/kill nested containers. Multi-level nesting is supported by using this API. Technically, the nested level is up to 32 since it is limited by the maximum depth of pid namespace and user namespace from the Linux Kernel.
 Once the container terminates or exits, the agent returns the container exit status to the executor.+---------------------+ | | | Container | | | +-------------+ WAIT | +-----------------+ | | | <------------+ | | | | | | | | Executor | | | | +------------> | | | | | Mesos Agent | Exited with | +-----------------+ | | | status 0 | | | | | +--XX-XX--+ | | | | | XXX | | +-------------+ | | XXX | | | +--XX-XX--+ | +---------------------+
Future Work
- Authentication and authorization on the new Agent API.
- Command health checks inside of the container’s mount namespace.
- Resource isolation for nested containers.
- Resource statistics reporting for nested containers.
- Multiple task groups.


The Saba Marine Park has installed moorings for visiting yachts and dive boats in Well’s and Ladder Bays, which together make one large anchorage. Located on the west coast the anchorage is an open roadstead – even on calm days there can be a roll here.
The visitor moorings are yellow with a blue stripe and are checked regularly by park staff to ensure your safety, as well as to protect the pristine marine environment.
The 11 moorings are available on a first-come first-served basis. The mooring fee is $3US per person/per week. There is also a park administration fee, called a "Nature Fee" of $1US per person/per night. (2015)
Getting Ashore
From the anchorage at Well’s and Ladder Bays to the Fort Bay dinghy dock is almost a 2nm dinghy ride. Note you must stay 150 metres offshore of any dive boats moored in the area, so it is a wet ride.
If conditions are very calm, an alternative way of getting ashore is to climb "The Ladder", an 800-step stairway leading from the small rocky beach at Ladder Bay up to the top of the island where there is the village "The Bottom". Before the 1940s, The Ladder was the only way to get goods and people to the villages at the top of the island.
From The Bottom, take a taxi up the steep winding narrow road to the main town of Windwardside. Here there is a tourist office, restaurants, guest houses and dive shops.
Last updated February 2015.


Logo
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MAP
TASK TO ALL
VIEW REPORT
CONTACT US
NAME
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{% csrf_token %}
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Deployment Configurations (v1)¶
The OKD Orchestrator is trying to strike a balance between requiring you to edit the complex Ansible inventory file expected by the OKD installation and a simpler approach, exposing sufficient variables that allow the ability to create rich, useful OKD clusters.
 Creating an OpenShift cluster requires the compilation of base operating-system images on which the OKD software runs, the creation of physical machines on which to run the software and the installation and configuration of the software itself and each of these steps can be a challenging task and each often utilities a different definition language. So, to install OpenShift you often find yourself having to understand Ansible, JSON, Jinja, HCL, and YAML file formats and languages.
The OKD Orchestrator is design to simplify the creation of a cluster by consolidating the definition of your cluster into one simple-to-read file format and then automating the vast majority of tasks, relying on 3rd party tools like Packer, Terraform and Ansible to build the necessary cluster and install and configure the software. The orchestrator’s deployment configuration file is designed for the non-expert, less technical user who simply wants to get a richly-defined OpenShift OKD cluster up and running.
The Configuration Format and Location¶
Configuration files are written in YAML and are located in the
deployments
directory of the OKD Orchestrator project 2
where a directory exists for each deployment.
Deployments are referred to using the base name of the configuration directory
which should therefore be compact but descriptive. The example configuration
(compact-aws-frankfurt-3-11) can be found in
deployments/compact-aws-frankfurt-3-11/configuration.yaml
3.
The Configuration File Content¶
The configuration file consists of the a preamble that defines the file version, name and description of the configuration followed by sections (maps) that define the actual deployment:
A
cluster
section that defines the machines and topology of the cluster on which OKD will be installed.An
okd
section that defines the OpenShift/OKD version to be installed and lists the Ansible playbooks that are to be executed to create the OKD cluster
Configurations are typically grouped into Compact or Complex topologies where _Compact_ deployments generally have single Master instances and _Complex_ deployments relay on resilient multi-master instances combined with a production-grade load-balancer.
A Compact Topology Example¶
The deployments/compact-aws-frankfurt-3-11
configuration is a
reference implementation of a compact style of deployment (a non-HA
deployment).
It can be easily configured with separate Bastion, Master and Infrastructure instances or as a cost-effective all-in-one deployment where the Bastion, Master and Infrastructure resources all reside on a single machine. It also serves as a good template for your own compact deployment.
Refer to the compact-aws-frankfurt-3-11
configuration file for a
detailed description of the properties it exposes to allow the formation of a
compact topology deployment.
A Complex Topology Example¶
TBD
Footnotes
- 1
Its capabilities will eventually evolve to create a large range of cluster topologies.
- 2
You can place deployment configurations in any directory, placing the path to the deployment into the
TF_VAR_deployments_directory
environment variable.- 3
At the moment configuration files muse have the extension
.yaml


What is Git?
Git is a distributed version-control system for tracking changes in any set of files, originally designed for coordinating work among programmers cooperating on source code during software development.
Download Git for Windows
Step 1
Browse to the official Git website: https://git-scm.com/downloads and click on download link.
Step 2
The installation process is a standard windows installation process. Double click on the downloaded installer file to start the installation process.
Step 3
Now you will be asked to specify the destination folder where Git will be installed. Leave it as default.
Step 4
A component selection screen will appear. Leave the defaults unless you have a specific need to change them and click Next
Step 5
Accept the default and click next to continue. It will place the Git shortcut in the start menu folder so that it will be available from the start menu
Step 6
Select a text editor you like to use with Git.You can accept the default or select from the drop down list. Click Next.
Step 7
Here we choose how we use git from command line. Leave it as it is for windows and click next to continue
Step 8
This allows you to access remote servers using SSH protocol. Leave the default which is Use OpenSSH. But lets not complicate things and click on next to continue.
Step 9
The next option relates to server certificates. Most users should use the default. If you’re working in an Active Directory environment, you may need to switch to Windows Store certificates. Click Next
Step 10
The next selection converts line endings. It is recommended that you leave the default selection. This relates to the way data is formatted and changing this option may cause problems. Click Next.
Step 11
Choose Use Window’s default console window and click Next.
Step 12
Uncheck all the options and click Install to continue
Step 13
When the installation completes, you will see the below screen, click Next to continue.
Connecting to your Remote Repository
Create a new repository in your github accont
Configure your local Git installation to use your GitHub credentials by entering the following:
git config ––global user.name “github_username”
git config ––global user.email “email_address”
Create a new test directory and change your location to newly created directory
mkdir test_git
cd test_git
Initialize git Repository using below command
git init
Add remote git repository using git URL
git remote add origin https://github.com/findpraveen/test_git.git
Add files to local repository
git add Readme.md
Switch to main branch
git branch -M main
Next, commit the changes to the local project
git commit -m "First Commit"
Finally, push the changes to the remote GitHub repository
git push -u origin main


Without authentication, you can use -X
If you need authentication, use -Y and not -X!
This may require the users MAGIC_COOKIE, .password file, or other
You can crack .password files from VNC with python or c tools on the internet
Also look at
xauth
xhost
and other utilities for X11


dashboardController($scope, $sce, $http, $timeout, $document, controller)
The controller for the dashboard view of the site.
Parameters:
| Name | Type | Description |
|---|---|---|
$scope |
object | |
$sce |
object | |
$http |
object | |
$timeout |
object | |
$document |
object | |
controller |
function |
Methods
-
$scope.accountIsSelected(user) → {boolean}
-
Determine if the account in question is the selected account
Parameters:
Name Type Description user
object The user in question
Returns:
- Type
- boolean
-
$scope.checkDelegate()
-
Determine if the user is not already a delegate, is a valid Twitter user, and then add them as a new delegate if so
-
$scope.checkTweet() → {boolean}
-
Check if a prospective tweet is valid, based on calculated character count
Returns:
- Type
- boolean
-
$scope.evalTweet() → {boolean}
-
Calculate the tweet length and return if it's valid
Returns:
- Type
- boolean
-
$scope.refreshTweets()
-
Refresh the recent tweets column, most likely after changing the selected account
-
$scope.removeDelegate(user_id) → {boolean}
-
Remove a delegated account from being able to tweet as this account
Parameters:
Name Type Description user_id
string The user to remove
Returns:
Success
- Type
- boolean
-
$scope.selectAccount(user)
-
Make an account the selected account to do things as
Parameters:
Name Type Description user
object The user in question
-
$scope.tweet()
-
Tweet! Uses $scope.draft as the tweet body.


Teaching as Art
Curriculum workshop
This workshop is to help you identify your objectives for teaching.
Objective
Why would a student want to take this class? What kind of experience are you hoping to give to the student? Also what does the student need to know in advance?
Outcome
Knowledge
- observing and recalling information; knowing dates, events, places; knowing concepts & major ideas
- list, define, tell, describe, identify, show, label, collect, examine, tabulate, quote, name
Comprehension
-
understanding information; grasping meaning; comparing; contrasting; ordering; grouping; inferring causes; predicting consequences; translating knowledge into new contexts
-
summarize, describe, interpret, contrast, predict, associate, distinguish, estimate, differentiate, discuss, extend
Application
- using concepts, theories in new situations; solving problems using required skills or knowledge
- apply, demonstrate, calculate, complete, illustrate, show, solve, examine, modify, relate, change, classify, experiment, discover
Analysis
- seeing patterns; organizing parts; recognizing hidden meanings; identifying components -analyze, separate, order, explain, connect, classify, arrange, divide, compare, select, infer
Synthesis
Synthesis involves the “putting together of elements and parts so as to form a whole.”
Evalutation
-
comparing and discriminating between ideas; assessing value of theories, presentations; making choices based on reasoned argument; verifying value of evidence; recognizing subjectivity
-
assess, decide, rank, measure, recommend, convince, select, judge, explain, discriminate, support, conclude, compare
Tools
Taxonomy of Educational Objectives (Handbook One, pp. 201-207): – Bloom, Englehart, Furst, Hill, & Krathwoh)
In Class Activity
Imagine yourself as a member of the D.O.E., or a school’s board member who would be reviewing curricula. Consider yourself as someone who would be critical of a proposed curricula, specifically attuned to where it would break. Think about questions they may have, such as: How does this curricula enable a path to college acceptance? How does grading work in this curriculum?
In pairs we are going to review one another’s curriculum, providing critical feedback. We will then take time to be critical of our own curricula and revise or propose edits based on your conversations and received feedback.
- 10 minutes - close reading of your partner’s curricula
- 10 mintutes - share constructive criticism and feedback with your partner (each person taking 5 minutes to share with each other)
- 5 minutes - think about how you would revise your curriculum based on your conversation
- Discuss your process with the class
Teaching as Art is a class about pedagogy, artist run schools and social practice art. The class has been offered as a graduate level course offered at NYU ITP in 2019, 2018, 2017 and a day long workshop at the Eyeo Festival.
Professor: Taeyoon Choi
with assistance from: Shira Feldman
This class is for artists and creative technologists who want to teach. A good teacher is also a great student themself. They transform their curiosity into knowledge and share their learning processes with others. One can learn to become a better teacher by staying fearless about ‘not knowing’ something, embracing radically open ideas and connecting various expertise and knowledge. Teaching can be a form of artistic and creative practice in collaboration with a diverse community. Teachers can invent new forms of learning spaces, new kinds of collaboration and new senses of community.


Code Samples
Click the RADIO Publishers
These
radio buttons
control the paragraphs below. Click them and see the subscribers react.
The
radio buttons
will publish a single event with a single value. It is the subsribers (the container below) - who listen for the { event : value } pair.
If there is a match - the subscriber element will show. If no match is found the subscriber element will hide.
Subscibers
These sections are shown by default. Simply becuase there is no hidden style applied.


Moulin Rouge (2001) 126m.
There's a windmill that keeps popping up in MOULIN ROUGE every few minutes. It's not central to the plot: it's just there, decked out with pretty lights, turning around in circles and going nowhere. It's probably as good a metaphor for MOULIN ROUGE as any, although I'm tempted to think that director Baz Luhrmann originally intended it as a jokey aside to the Quixotic nature of his brash new undertaking. You will either love or hate MOULIN ROGUE, or more likely both. There's much that is wonderful and dynamic, and just as much that is irritating or hackneyed. There's certainly not much in the storyline: Ewan McGregor plays a would-be bohemian writer visiting Paris at the turn of the 20th century, where he becomes besotted with Satine (Nicole Kidman), the star attraction of the infamous Moulin Rouge nightclub. The fate of the nightclub is in the hands of an unscrupulous Duke (Richard Roxburgh) who also has his eye on Satine and will brook no competition from the lovesick McGregor.
It took me a while to figure out exactly what Luhrmann was trying to do with MOULIN ROUGE. It's a natural, if predictable, progression from his previous two films STRICTLY BALLROOM and ROMEO + JULIET but at first glance seeks only to amplify them. It wasn't until the melodrama of the film's final reel that I remembered its great opening credits, and realized that MOULIN ROUGE is intended to be a silent film - with music. Luhrmann, who I suspect would be quite pleased to become heir apparent to the throne of Postmodern Cinema, throws every reference, in-joke and quotation imaginable into what he determines to be the 21st Century version of the Musical, a genre that was pretty much defunct after the 60s. It would not suit the viewing sensibilities of modern audiences to play the story straight, as would have been done in the days of Judy Garland or Gene Kelly, so instead Luhrmann chooses to be campy and flippant. This makes the film great fun, but also repeats the inconsistency of his previous ROMEO + JULIET: MOULIN ROUGE immerses us in a totally artificial (i.e. distinctly cinematic) world with over-the-top characters and then expects us to feel genuine emotion for them at the end simply by descending into pathos.
The death scene, a less successful rehash of R+J, is tiresome, but not as tiresome as the film's other patent flaw. Luhrmann is a talented director with a wayward sense of humor, but in MOULIN ROUGE he has only one joke and it is repeated ad nauseam. Worse, it is that laziest recourse of humor, the anachronism joke. It first happens a few minutes into the film when Ewan McGregor bursts into a rendition of 'The Sound of Music'. It's a forgivable gag when it occurs, because it points out to us the direction the rest of the movie is heading. Twenty minutes later, when it becomes apparent that the characters are not going to stop quoting song lyrics as if they were prose, the joke has worn thin (and reminds us that Luhrmann had a better writer for his earlier picture!). It also raises some confusion - there is a specific audience that will be of the right age to recognize the quotes (mostly from 1970s tunes) so the spoofy nature of the dialogue will be lost on many viewers. It's one thing to have Prince's 'When Doves Cry' reformatted for choirboys in ROMEO + JULIET, but another to have McGregor and Kidman spouting Bernie Taupin lyrics as if they were poetry and talking in conversations made up entirely of lines from Jennifer Warnes, David Bowie, The Sweet, Wings, and other artists. This might be the stuff of Postmodernism but it's also a depressing reminder that a number of new film-makers are cannibalistic: they don't make movies based on books any more, they make movies based on other movies. Just to show how intertextual Luhrmann gets, Kidman's opening scene starts with her belting out 'Diamonds are a Girl's Best Friend', which is abruptly interrupted by a phrase from Madonna's 'Material Girl'. Why? Because the original Madonna video clip was itself a parody of the 'Diamonds' number from the film GENTLEMEN PREFER BLONDES. At this stage Luhrmann isn't even making a movie based on a movie, but a movie based on a film clip based on a movie. In the end, MOULIN ROUGE is left strutting its stuff like a Frankenstein monster covered in glitter.
Despite this pot-pourri approach, MOULIN ROUGE still manages to be refreshing and original. This doesn't mean it's an original musical - the songs are well-known pop tunes that have been incorporated, mostly for humorous effect, into the storyline. I don't have any complaint with this because it wasn't uncommon for musicals of the past to be made in a similar style, with tunes cobbled together from the likes of Gershwin, Porter and Berlin to ensure good box-office - even the classic SINGING IN THE RAIN is made up of songs taken from other films. When it comes down to the bottom line, only one question needs to be asked: is this film worth seeing? The answer is yes. The high points outnumber the flaws (or, more likely, overwhelm them) and it is a gloriously cinematic spectacle which deserves to be seen and especially heard in a theater. It outdoes everything Luhrmann has done to date, and while it may not be as cohesive as his earlier work it at least seems to have been the film he has always wanted to make. Besides, anything featuring a cameo of pop princess Kylie Minogue as a hallucinatory green fairy has got to be worth checking out.
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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{% extends "base.html" %} {% block content %}
you recently participated in the mapping project -
{{values['PROJECT_NAME']}} - on the
{{values["ORG_CODE"]}} Tasking Manager.
We want to inform you the project has reached {{ values["PROJECT_COMPLETION"] }}% of completeness.
Please login and help us to finish the project!
Thank you!
you recently participated in the mapping project -
{{values['PROJECT_NAME']}} - on the
{{values["ORG_CODE"]}} Tasking Manager.
We want to inform you the project has been completed. It is time to celebrate!
Do you want to continue? Find the suitable project for you here: {{values['APP_BASE_URL']}}/explore
We noticed that you haven't mapped any task with Tasking Manager
yet. Need a little help to get started?
How about exploring
this list of projects we selected for you?
| {% for projects in [values["PROJECTS"][:2], values["PROJECTS"][2:]] %} | |||
|---|---|---|---|
#{{project.id}} |
{% if loop.index ==1 %}
{% endif %} {% endfor %} | ||


--- layout: default ---
Storage, warehouse control, FIFO methodology, Material handling and storage requirements, focus in quality.
Fast response to every problem and the highest customer satisfaction.
We offer the freight you need in a costly and timely mode, Shipping to the principal industrial cities in Mexico, expediting services, controlled shipping for time, sensitive deliveries.
Focus on selling your products to your target import and export countries, provide assurance for consumers, brands and companies that products comply with the importing countries regulatory standards.
Sorting, rework, segregation and inspection.


Topic 9 Assignment 2:Write a function for searching JavaScript arrays with a binary search. Define array as global variable and search element as local variable in a function


You are creating a reservation for the following resource:
{% include "reservation/snippet/resource_highlight.html" %}
{% if conflicting_reservations %}
The reservation that you are trying to create conflicts with the following reservations:
{% include "reservation/snippet/reservation_table.html" with reservation_list=conflicting_reservations class="red" %}
{% endif %}
{% if error_message %}
{{ error_message }}
{% endif %}
{% if reservation_form %}
{% include "reservation/snippet/datetime_format.html" %}
{% endif %}
{% endblock %}


{% extends 'base.html' %} {% block head %} {% endblock %} {% block body %}
This website allows you to convert an image of a Hawaiian document into digital texts in Hawaiian and English.
Learn morePlease upload an image file that you want to transcribe and translate.
{% with messages = get_flashed_messages(with_categories=true) %} {% if messages %} {% for category, message in messages %}| Added | Name | Image | Transcribed text | Translated text | Actions |
|---|---|---|---|---|---|
| {{ task.date_created }} | {{ task.name }} | {{ task.transcribed }} | {{ task.translated }} |


Links to all Assignments
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______
Based on the markings, two people begin tying
the areas that form some part of the pattern.
The parts that are tied will not be exposed to
the dye. In this way, only the areas that have
the first color will get dyed. When the threads
are soaked in the dye, the lightest colours are
dyed first and the dark colors are dyed in
the end.
This is to optimise the amount of tying needed
and also as to protect the light colours as they
can't be dyed over darker colours.
In this animation, the pattern has been enlarged
for better visibility. The actual motif is much
smaller and the tying, way more intricate.


Lincoln Corsair Grand Touring Debuts As The Brand’s Second Plug-In
It joins the Aviator Grand Touring in the lineup.
by Clint SimoneEarlier this year, Lincoln expanded its lineup of crossovers SUVs with its smallest offering yet, the Corsair. Now, following in the footsteps of its bigger Aviator sibling before it, the Corsair also gains a plug-in hybrid variant: the Grand Touring model.
Aimed at younger buyers who don’t need three rows of seats, the baby Lincoln crossover impressed us during our first drive review with its sleek styling and ultra-luxurious cabin. And although it is noticeably softer than rivals such as the Audi Q3 and Acura RDX, the Corsair is very well-sorted from behind the wheel. With its available 2.3-liter turbocharged four-cylinder, the Corsair produces up to 295 horsepower and 310 pound-feet of torque, making it a decent performer for the segment.
We've Driven The Corsair:
The Grand Touring model uses a slightly more complex powertrain setup, starting with a 2.5-liter gas engine that’s paired to two electric motors. Power is targeted at 266 horsepower (198 kilowatts), though not yet officially confirmed. More importantly, Lincoln anticipates an all-electric driving range of “more than” 25 miles (40 kilometers) – just how much more, though, we will have to wait and see. Finally, the Corsair Grand Touring uses an electric all-wheel-drive system that sends electric power to the rear wheels, supplementing the gas-powered front wheels. Lincoln refers to this technology as a first for the compact crossover segment.
Much like its gas-only counterparts, the Corsair Grand Touring features an extensive options list, including add-ons like the Lincoln Co-Pilot360 safety suite, the 14-speaker Revel audio system, and 12.3-inch digital instrument cluster. And while the Corsair options list is packed with goodies, that leads to the elephant in the room – price.
Gallery: LIncoln Corsair Grand Touring
Lincoln hasn’t confirmed the Grand Touring’s cost just yet, but we can expect it to command a premium over the non-hybrid models, which can already reach beyond $60,000 when fully-equipped. Even so, having another plug-in hybrid in the luxury compact crossover space is a welcome addition and the Corsair itself is a great platform to start with.


check_refine_atom [-e] [-f <size or varlist> ] [-h] [-i <varlist> ] [-k] [-o <fname>] [-r] [-v] <impl> <spec> <spec_interface_varname>
Do one step in the compositional refinement proof of "implementation refines specification". The step done corresponds to the atom that controls variable named spec_interface_varname in the specification (let us call this atom atom1). The command does the following:
Given an implementation, specification modules and and an interface variable in the specification that controls and atom (say atom1), construct new modules "new specification" and "new implementation" such that 1. new specification contains atom1 only. 2. new implementation contains heuristically chosen atoms from specification and implementation that control variables controlled by atom1, but do not include atom1 itself
A refinement check between the new specification and the new implementation is performed First, new specification and implementation modules are created. The new specification contains just atom1. The new implementation contains chosen atoms from specification and implementation that control variables controlled by atom1, but do not include atom1 itself. At this point the new implementation contains only "essential atoms" to do a refinement check.
Further atoms may need to be added to the new implementaion to constrain its environment. There are two ways to do this:
1. AUTOMATIC: If the "-f 0" (size) option is chosen, then the implementation module is not grown any further. For the "-f 1" and "-f 2" options, progressively larger "constraining" environments are chosen for the new implementation module. (The default if no explicit "-f" option is used is "-f 2")
2. MANUAL: The user can also FORCE specific variables to be controlled in the new implementation by using simply supplying a list of variables in the -f option (example -f {var1 var2}).
Preference is always given to choose atoms from the specification for the new implementation whenever possible. However, the "-i" option can be used to choose specific atoms from the implelementation.
NOTE 1 : Since atom names are mangled by MOCHA (to uniquify atom names during parallel composition), we identify an atom by any variable that is controlled by the atom.
NOTE 2 : List of variables are specified by enclosing them in curly braces Example {var1 var2}
NOTE 3: You also have to use curly braces if your variable name has array indices Example {foo2[0][1]}
EXAMPLES:
Suppose the specification module is "Spec" and implementation module is "Impl". To do the sub-proof corresponding to a specific atom in the Spec that controls variable "myVar": check_refine_atom Impl Spec myVar
To force variables foo1 and foo2[0] to be controlled use: check_refine_atom -f {foo1 foo2[0]} Impl Spec myVar
In addition, to force foo2[0] to be constrained by an atom from Impl, use: check_refine_atom -f {foo1 foo2[0]} -i {foo2[0]} Impl Spec myVar
Command Options:


About!
Meet Enix, Ever needed a moderation bot that also includes currency? Enix has got you, It contains tons of other commands asweel, The Enix Discord bot can reduce up to 2-3 bots because of of the Enix bot system! The Enix Discord bot is VERY EASY TO USE, It is not complicated at all. The Enix bot moderation system includes >warn, >ban, >kick, >warncount {user}, >mute, And TONS more to find out once you invite the Discord bot. The Currency system includes, >bal, >shop, >pay {user} and tons more when you invite the bot too! You can also change the prefix of the bot by using >setprefix
Get started


| IN A NUTSHELL | |
|---|---|
| Born | Steven Paul Jobs February 24, 1955 San Francisco, California, U.S. |
| Died |
October 5, 2011 (aged 56) Palo Alto, California, U.S. |
| Occupation | Co-founder, Chairman, and CEO of Apple Inc. Primary investor and CEO of Pixar Founder and CEO of NeXT |
| Parents |
Paul Jobs (adoptive father) Clara Jobs (adoptive mother) Abdulfattah Jandali (biological father) Joanne Schieble Simpson (biological mother) |
| Children | with Brennan; Lisa Brennan (b. 1978) with Powell; Reed Jobs (b. 1991) Erin Jobs (b. 1995) Eve Jobs (b. 1998) |
| Cause of death |
Pancreatic cancer and respiratory arrest |
"Have the courage to follow your heart and intuition. They somehow know what you truly want to become."
-STEVE JOBS
Do read more about this impeccable personality here.


Abusing Coldfusion to execute commands is easy. If we can control a variable is part of either the name or arg argument in the <cfexecute> tag, we can execute code. If we can control the output file, we could overwrite IIS log files or even deface websites. Elements the user can control include:
#form.elementname#
#URL.nameofvariable#
#CGI.CERT_SUBJECT#
#CGI.CERT_ISSUER#
#CGI.HTTP_REFERER#
#CGI.HTTP_USER_AGENT#
#CGI.HTTP_IF_MODIFIED_SINCE#
#CGI.QUERY_STRING#
#COOKIE.name#
#COOKIE.value#
Or any variable passed via an html form declared with pound signs #variable#.


Treat your cat to a £140 cat bridge this Christmas
We all like to spoil our pets but one luxurious cat product has got the internet talking.
Any cat owner will know that felines love to sit up high, surveying their kingdoms.
So any product which allows a cat to spread itself across at a height, is ideal for the furry creatures.
Well, such an item does exist and is known as the Cat Mod Bridge.
That’s right, it’s an actual bridge designed specifically for felines.
The creation, which is currently sold by CatastrophiCreations on Etsy, comes in three different colours: a dark onyx, a brown chestnut and a paler white shade.
It’s pretty simple to assemble, too – just nail each side to the desired part of a wall.
There are three different lengths to choose from: a 30, 46 and a 62-inch bridge.
But the website stresses that the longer the bridge, the more likely it is to sway.
Advertisement Advertisement
It says: ‘The 62″ bridge will have more sway to it. So, if your cat may be hesitant because of this then we recommend going with one of the shorter length options.’
Prices start from £137.73 for the smallest size and go up to £166.09. But considering its quality and design, it seems to be worth the investment and has been a hit with cat owners, so far.
Many have left comments praising the imaginative piece on Etsy.
One said: ‘Very sturdy and so Indiana Jones! I can’t wait to get this up on the walls. My Sammie is going to go nuts.’
Another cat mum posted: ‘My cat is going to love this for Christmas!’
While another could not stop singing its praises. She said: ‘All the wood is high quality, perfectly smooth finish and didn’t smell like varnish or stain at all.
‘The pieces were easy to put together and very versatile. I had a tricky wall with strange stud distances and I had no problem with the bridge.’


Executive Summary
In , Reader Mode was opened times. The most popular content language is .
Narrate was offered to of Reader Mode users. The largest share of users who were not offered Narrate were viewing content in . Narrate was disabled most likely because of a lack of speech synthesis support for that language on the user's platform.
Narrate was activated times. It was deactivated within 10 seconds in of cases. Users allowed narration to continue for over a minute in of cases.


WITNESS LIST Administration Committee April 18, 2005 - 4:00P HCR 36 Registering, but not testifying: For: Floyd, Robert (Self), Austin, TX Golemon, Kinnan (Self), Austin, TX McBride, Richard (Self), Austin, TX Nugent, Patrick (Self), Austin, TX


Register your Copy
MiniBatteryLogger is released as shareware software. If you’re using it regularly, you should register a license.
The unregistered version can be evaluated without restrictions for a limited period of time. After the evaluation period has expired, it will prompt the user for registration until it is registered.
Follow this link to register your copy of MiniBatteryLogger.
To enter your registration codes, choose Enter Registration Key from MiniBatteryLogger menu and then choose Registration.
Your registration codes are sent to you by email after registering.


This is a list of all folders that GameBrowser is monitoring. If the platform is incorrect, just click the entry and correct it using the form above. It's that easy!


References back to ToC
- Chari, S., Gruen, D.M., Seneviratne, O., McGuinness, D.L.: Directions for Explainable
Knowledge-Enabled Systems. In: Ilaria Tiddi, Freddy Lecue, Pascal Hitzler (eds.), Knowledge Graphs for eXplainable AI – Foundations, Applications and Challenges. Studies on the Semantic Web. p. 245 - 261. IOS Press (2020)
- Mittelstadt, B., Russell, C.,Wachter, S.: Explaining explanations in AI. In: Proc. of
the Conf. on fairness, accountability, and transparency. pp. 279–288. ACM (2019)
- Holzinger, A., Biemann, C., Pattichis, C.S., Kell, D.B.: What do we need to build
explainable AI systems for the medical domain? arXiv preprint arXiv:1712.09923
(2017)


|
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at the end of this Notice.
This Notice:
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information with other mohlsen.com companies. You may also tell us your
preferences about receiving special pricing or other promotional offers
from us.
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cover any special state law requirements.
Confidentiality And Security
Protecting your information has always been important to us. Access to
your information is limited to those persons who need to know that information.
For example, access to your information is needed to resolve questions
or inquiries, for internal security or fraud control, to provide products
or services, or to protect or enforce our rights.
We maintain physical, electronic, and procedural safeguards that comply
with federal standards to guard your information.
Your Information We Collect
We collect customer information about you from the following
sources:
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Your Information We May Share With Other Companies
We may disclose all of the customer information we collect
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However, you have the right to ask us not to share certain
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mohlsen.com Companies Covered By This Notice
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No pain, no gain. Only Doge.
You should think about it. Make it part of you. Don’t wait!
Try to relax. Doge can not do bad things at all. It’s like a beautiful dream with you inside.
Why you only a little human? Be a doge.


{% extends "error_template.html" %} {% block title %} 500 Internal Server Error {% endblock title %} {% block content %}
Something went wrong with your request.
We will try to fix the situation as quickly as possible. Sorry for the inconvenience.
{% endblock content %}


tinselR (pronunced tinsel-er) at its’ most basic level is a graphical viewer of Newick-formatted phylogenetic trees and as an application for producing publication-ready figures. The power of tinselR comes with combining a genetic distance matrix for annotating a tree for epidemiological outbreak analyses. A genetic distance matrix contains SNP differences for all pairwise comparisons for the tips on the tree. One can also include a heatmap when that data is provided in the meta data file. When you are happy with the way the image looks, you can download as either a pdf, png, or tiff.
If you have any the above, please submit an issue on github.
1). Install devtools package
Run this code in your R console -
install.packages("devtools", dep=T)
2). Install ggtree and treeio
Note - installation of ggtree should automatically cause treeio to install
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ggtree")
3). Install and launch the tinselR shiny application
Note - the released for production version should be installed by specifying the release branch (e.g. @release-V0.0.090)
4). Load your data or use the example data
Please click on the ‘Data Upload’ pane, where you can upload your files.* Example data is available for playing with tinselR in the ‘Example Data’ pane of the application. The example data sets include all three files (tree, *gene, and meta) and are available for selection via one drop down menu
Phylogenetic Tree - required; a Newick generated tree
Genetic Distance data - optional for use with the annotation function; a tsv/txt/csv file - see below for image of genetic distance matrix.
Metadata - optional for easy correction of tip labels or adding a heatmap; a tsv/txt/csv file - requires column headers of Display.labels and Tip.labels. See image below for a csv file example.
Examples of both the genetic distance matrix and the metadata file
Metadata File
Genetic Distance
5). Alter or annotate your tree
Known issues as October 23, 2020
If you are interested in seeing the session info for the computer that developed this application please visit this link. Here all packages and versions that were installed on a windows machine are listed and successfully runs tinselR.


| | |
- Annotation
- AnnotationOption
class Annotation |
| |
The Annotation class represents an annotation within the 3taps client
APIs.
An Annotation object has the following attributes:
name
The name of this annotation.
type
A string identifying the type of annotation. The following
annotation types are currently supported:
select
string
number
options
For annotations of type "select", this will be a list of the
possible options supported by this annotation. Each item in
this list should be an AnnotationOption object.
You can retrieve and change these attributes directly as required. |
| |
Methods defined here:
- __init__(self, **kwargs)
- Standard initializer.
The initial attributes for the Annotation object can be passed as
keyword arguments if desired.
|
class AnnotationOption |
| |
This class represents a single option for an Annotation.
The AnnotationOption object has the following attributes:
value
A string containing the value for this annotation option.
subAnnotation
If defined, this is an Annotation object representing the
sub-annotation for this option. |
| |
Methods defined here:
- __init__(self, **kwargs)
- Standard initializer.
The initial attributes for the AnnotationOption object can be
passed as keyword arguments if desired.
| |


Jobs and Employees
Jobs
Select a Job to get Employees of that Job
Employees
Select a employee to get Salary of that employee
Salary


Exercise 1
This is the first exercise. Have also a look at the Theorem 1.1 (Needed for the second exercise), the Exercise 2 (This is the second exercise) and the Exercise 3.
Theorem 1.1: Needed for the second exercise
This is a the first theorem. Look at the exercise.

Exercise 3
This is the third exercise.
Unnumbered #


Welcome to my Website
This is a website to display my programming and web-related work. Use the navigation bar above to browse some of projects I have completed.
About Me
I am currently studying an Msc in GIS at the University of Leeds. I previously studied Geography at Lancaster University. In my spare time I enjoy swimming, cycling and hiking.


This sentence should be in a serif font.
This sentence should be in a serif font.
This sentence should be in a sans-serif font.
This sentence should be in a cursive font.
This sentence should be in a fantasy font.
This sentence should be in a monospace font.
This sentence should be in a sans-serif font.
This sentence should be in a monospace font.
This sentence should be in a monospace font.
This sentence should be in a serif font.
This sentence should be in a sans-serif font.
This sentence should be in a cursive font.
This sentence should be in a fantasy font.
This sentence should be in a monospace font.


Take a photo and upload it to our website to get results.
Learn more about skin cancer prevention and statistics.
Select an image and upload it with the button below and press submit.
 The role of computing in medicine has grown exponentially over the last few decades with the advent of more robust ML algorithms leading to results such as the case of SkinCheck.
By taking a dataset of thousands of malignant and benign growths taken by doctors, we are able to have our algorithm distinguish with a range of certainty if a growth is cancerous.
After downloading the dataset, we had roughly 20,000 images that were not labelled nor descriptive, which made it difficult for us to quickly discern which images were benign and which images were malignant. To aid this problem, we used the supplied metadata of these images which contained a field for benign or malignant and the Pandas data science library in python to parse and rename all files such that they were identifiable with an ID number and by whether they were malignant or benign.
From here, we were able to create classifications in IBM's Watson machine learning platform to assist in putting each image in computer "readable" form in order to create the model that helps you self-exam!


{% extends "base.html" %} {% block content %}
Please click here to see our interactive chart of CO2 emissions.


| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HADOOP-8037 | Binary tarball does not preserve platform info for native builds, and RPMs fail to provide needed symlinks for libhadoop.so | Blocker | build | Matt Foley | Matt Foley |
| HADOOP-7470 | move up to Jackson 1.8.8 | Minor | util | Steve Loughran | Enis Soztutar |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HADOOP-8009 | Create hadoop-client and hadoop-minicluster artifacts for downstream projects | Critical | build | Alejandro Abdelnur | Alejandro Abdelnur |
| HADOOP-7987 | Support setting the run-as user in unsecure mode | Major | security | Devaraj Das | Jitendra Nath Pandey |
| HDFS-2814 | NamenodeMXBean does not account for svn revision in the version information | Minor | . | Hitesh Shah | Hitesh Shah |
| MAPREDUCE-3607 | Port missing new API mapreduce lib classes to 1.x | Major | client | Tom White | Tom White |
| MAPREDUCE-3184 | Improve handling of fetch failures when a tasktracker is not responding on HTTP | Major | jobtracker | Todd Lipcon | Todd Lipcon |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HADOOP-8052 | Hadoop Metrics2 should emit Float.MAX_VALUE (instead of Double.MAX_VALUE) to avoid making Ganglia's gmetad core | Major | metrics | Varun Kapoor | Varun Kapoor |
| HADOOP-8010 | hadoop-config.sh spews error message when HADOOP_HOME_WARN_SUPPRESS is set to true and HADOOP_HOME is present | Minor | scripts | Roman Shaposhnik | Roman Shaposhnik |
| HADOOP-7988 | Upper case in hostname part of the principals doesn't work with kerberos. | Major | . | Jitendra Nath Pandey | Jitendra Nath Pandey |
| HADOOP-7964 | Deadlock in class init. | Blocker | security, util | Kihwal Lee | Daryn Sharp |
| HADOOP-7960 | Port HADOOP-5203 to branch-1, build version comparison is too restrictive | Major | . | Giridharan Kesavan | Matt Foley |
| HDFS-2379 | 0.20: Allow block reports to proceed without holding FSDataset lock | Critical | datanode | Todd Lipcon | Todd Lipcon |
| MAPREDUCE-3343 | TaskTracker Out of Memory because of distributed cache | Major | mrv1 | Ahmed Radwan | zhaoyunjiong |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|


Please take your time to look around the website and watch the videos our team has worked on! Check out the preview below!


Dobson was a man of words rather than images, but he had a lifelong interest in the cinema. Long after the words “film” and “movie” had become common parlance, Dobson insisted on referring to “photoplays”. He used to get all het up that he was never invited to vote in those critics' polls of the best films of all time, and once held a candlelit vigil outside the British Film Institute as a protest. It is said that he was regularly arrested for impersonating Ray Milland at seaside resorts, though this is probably one of those stories that get bandied about by mischief makers. In all the millions of words he wrote, however, Dobson had almost nothing to say on the subject of cinema, save for a throwaway remark towards the end of his essay Six Types Of Snodgrass Implement, where he writes: “without any doubt the greatest film of all time is Blue Demon Y Las Seductoras”.


find-by-regex
Usage
- Open the extension by typing Alt+Shift+F (Mac: Ctrl+F).
- Go to the next and previous search results by hitting Enter and Shift+Enter, respectively.
- Esc clears results.
- Set the default case sensitivity on the options page
- This extension uses
new RegExp(/__YOUR_INPUT__/, flags)
internally, where flags are currently either 'g' or 'gi'.
Any bugs?
Contributions


The original document laying out the engineering requirements of the Apollo mission didn’t even mention the word software, MIT aeronautics professor David Mindell writes in his book Digital Apollo. “Software was not included in the schedule, and it was not included in the budget.”[source]
Marget Hamilton was the lead programmer and engineer on the Apollo 11 Space Mission.
At the MIT Instrumentation Lab where Hamilton worked, she and her colleagues were inventing core ideas in computer programming as they wrote the code for the world’s first portable computer. She became an expert in systems programming and won important technical arguments.
“When I first got into it, nobody knew what it was that we were doing. It was like the Wild West. There was no course in it. They didn’t teach it."[source]
As a working mother in the 1960s, she often had to bring her daughter to work. MIT had very few female engineers.
She popularized the term "software engineering" in order to give legitimacy to her craft.
The complete source code for the mission was recently posted to GitHub.


1 instantiation of PipelineThread
System.Management.Automation (1)
engine\hostifaces\LocalConnection.cs (1)
773
_pipelineThread = new
PipelineThread
(this.ApartmentState);
4 references to PipelineThread
System.Management.Automation (4)
engine\hostifaces\LocalConnection.cs (2)
769
internal
PipelineThread
GetPipelineThread()
779
private
PipelineThread
_pipelineThread = null;
engine\hostifaces\LocalPipeline.cs (2)
216
PipelineThread
invokeThread = this.LocalRunspace.GetPipelineThread();
1250
/// Finalizes an instance of the <see cref="
PipelineThread
"/> class.


- Purpose
Standard output methods for reporting debug information, warnings and errors, which can be easily be turned on/off.
- Usage
- Initialize the debug message port in application, for stdio printf().
- Uses the TRACE_DEBUG(), TRACE_INFO(), TRACE_WARNING(), TRACE_ERROR() TRACE_FATAL() macros to output traces throughout the program.
- Each type of trace has a level : Debug 5, Info 4, Warning 3, Error 2 and Fatal 1. Disable a group of traces by changing the value of TRACE_LEVEL during compilation; traces with a level bigger than TRACE_LEVEL are not generated. To generate no trace, use the reserved value 0.
- Trace disabling can be static or dynamic. If dynamic disabling is selected the trace level can be modified in runtime. If static disabling is selected the disabled traces are not compiled.
- traceLevels Trace level description
- TRACE_DEBUG (5): Traces whose only purpose is for debugging the program, and which do not produce meaningful information otherwise.
- TRACE_INFO (4): Informational trace about the program execution. Should enable the user to see the execution flow.
- TRACE_WARNING (3): Indicates that a minor error has happened. In most case it can be discarded safely; it may even be expected.
- TRACE_ERROR (2): Indicates an error which may not stop the program execution, but which indicates there is a problem with the code.
- TRACE_FATAL (1): Indicates a major error which prevents the program from going any further.


UPDATE (4 Nov 2013): I found the problem with Mavericks - the latest workaround is here.
UPDATE (29 Oct 2013): I just upgraded to Mavericks, and Macfusion is now broken. I've tried every combination of installations, command-line sshfs programs, etc. that I can find and nothing is working yet. I'll post again if I figure it out, but for now, I guess I'm stuck with Cyberduck. Macfusion should still work if you're running Lion (and maybe Mountain Lion), though.
And another by-product of the Lion upgrade… and a lesson in hasty installations.
Back in Snow Leopard, I had used Macfusion to mount many of the systems that I have ssh access to as devices on my mac - life is so much handier when you can edit and copy files directly without remembering all the proper terminal stuff. You set up the ssh connection once, and forever after you can access your servers with a pull-down menu in the Finder.
After my fresh installation of Lion (see last post), I decided I still wanted this tool, so I downloaded and installed Macfusion, forgetting that back in the day I had to install MacFUSE first. I went to connect to my favorite server, and, what do you know? I get an error:
It took me a few minutes for the "aha! I forgot to install MacFUSE!" So, in my rushed habit, I downloaded the original MacFUSE installer I had used in Snow Leopard, installed, and in its preference pane…
Crap. Maybe I need to restart.
Nope.
Okay, maybe Macfusion messed with something by being installed first… After much googling, I figured out how to remove both MacFUSE and Macfusion via a bunch of sudo rm -rf
statements (yikes!), and installed in the proper order.
Still the same error.
Okay, maybe this is a Lion issue. Googling that… and yes, it turns out MacFUSE doesn't like the uber-64-bit-ness of Lion. Someone suggested a patched version of MacFUSE that should work, no guarantees…
And, of course, it doesn't fly on my machine.
NOW what? In the same forum, someone whispered something about a proper solution that was in the works: OSXFUSE. A quick peek at the post date, and, yup, that was six months ago. I wonder if it's farther along now…
Yup. And the installer has a nice backward compatibility mode to MacFUSE—and for obsessive people like me, it also will do the uninstallation of MacFUSE for you as it installs itself so you don't have to do all the unix deleting.
Kudos to Benjamin Fleischer and Erik Larsson. You know software is great when it fixes your problem so fast you hardly remember using it.


Cefau3 is an open source CEF wrapped library for AutoIt3, written in C and used syntax like C++. The best easy way to create your own web application.
$ git clone https://github.com/wy3/cefau3.git
Wrapped for AutoIt, so easy for learning.
Cefau3's implementation is 25k sloc ANSI C without dependencies.
Using AutoItObject, everything is object-like, or can use functionally for code.
Cefau3 licensed under the MIT Public License.


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Tedy
about
explain
build
github
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2016 Sep 19
-
Setting Up Jekyll
2016 Sep 18
-
Building a Prototype IoT Product Fast


Using the img-responsive
class
Using the center-block
class with img-reponsive
Using the img-rounded
class.
Using the img-circle
class.
Using the img-thumbnail
class.
Gunna throw icons in here, because it seems like it should be here.
Simple stuff. Just go to http://glyphicons.com/ and see what you can use.


allocation and freeing of,
210–212
array implementation of,
209–213
odd-even merging network,
721 pr.
odd-even sorting network,
721 pr.
1-approximation algorithm,
1023
one-to-one correspondence,
1079
on-line convex-hull problem,
957 ex.
optimal subset of a matroid,
395
optimal substructure
of activity selection,
371–373
of assembly-line scheduling,
325–327
of binary search trees,
359
in dynamic programming,
339–344
of the fractional knapsack problem,
382
of longest common subsequences,
351–352
of matrix-chain multiplication,
333–334
of unweighted shortest paths,
342
of weighted matroids,
397
of the 0-1 knapsack problem,
382
and decision problems,
969
output
of a combinational circuit,
988
overdetermined system of linear equations,
743
overlapping intervals,
311
point of maximum overlap,
318 pr.
overlapping-suffix lemma,
908


We got cats!
- visualize turn-key e-tailers
- synergize visionary methodologies
- matrix bleeding-edge ROI
- embrace B2C architectures
- e-enable dot-com applications
- syndicate dot-com e-business
- matrix real-time interfaces
- synergize distributed initiatives
- mesh dot-com metrics
- leverage one-to-one supply-chains
- envisioneer real-time vortals


Zen Notebook is a minimalist notebook inspired by Zenpen and RedNotebook
Created by Stephan Miller
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